Can I see the full history of a task through my agent?

Yes. Use the `list_activities` tool with a specific Task ID to retrieve the full audit trail, including state changes and comments, ensuring you never miss the context of a task's evolution.

How do I find a specific task ID?

You can use `list_tasks` to browse tasks within a workspace or list. Your agent will display the Task IDs along with their names, making it easy to identify the exact task you need to inspect.

Can I list all members of my workspace?

Absolutely. The `list_users` tool allows you to fetch all registered teammates in your Height workspace, helping you map assignments and identify collaborators in your projects.

Height (Project Management) MCP Server for LangChain 6 tools — connect in under 2 minutes

Name: Height (Project Management)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 6 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Height (Project Management) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "height-project-management": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Height (Project Management), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Height (Project Management) MCP Server

Connect your Height workspace to any AI agent and take full control of your project management workflow through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Height (Project Management) through native MCP adapters. Connect 6 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Task Management — List, retrieve, and inspect tasks with their full metadata and structural details directly from your agent
Lists & Grouping — Discover and manage high-level grouping constructs and lists to organize your workspace effectively
Workspace Audit — Extract explicit workspace domains and user credentials linked to your account for quick audits
Activity Tracking — Access full audit trails and activity logs for any task to monitor its history and state mutations
Team Collaboration — Fetch and map registered teammates and user identities across the organization securely

The Height (Project Management) MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Height (Project Management) to LangChain via MCP

Follow these steps to integrate the Height (Project Management) MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 6 tools from Height (Project Management) via MCP

Why Use LangChain with the Height (Project Management) MCP Server

LangChain provides unique advantages when paired with Height (Project Management) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Height (Project Management) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Height (Project Management) queries for multi-turn workflows

Height (Project Management) + LangChain Use Cases

Practical scenarios where LangChain combined with the Height (Project Management) MCP Server delivers measurable value.

RAG with live data: combine Height (Project Management) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Height (Project Management), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Height (Project Management) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Height (Project Management) tool call, measure latency, and optimize your agent's performance

Height (Project Management) MCP Tools for LangChain (6)

These 6 tools become available when you connect Height (Project Management) to LangChain via MCP:

get_task

Get task

list_activities

List activities

list_lists

List lists

list_tasks

List tasks

list_users

List users

workspace

Get workspace

Example Prompts for Height (Project Management) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Height (Project Management) immediately.

"List all tasks in my 'Product Roadmap' list"

"Show me the recent activity for task T-102"

"What are the details for task T-108?"

Troubleshooting Height (Project Management) MCP Server with LangChain

Common issues when connecting Height (Project Management) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Height (Project Management) + LangChain FAQ

Common questions about integrating Height (Project Management) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.